# secapi-mcp

> secapi-mcp — secapi-dev-secapi-mcp. Use this tool when you need to analyze financial data and SEC filings through natural language queries, enabling AI clients to search and retrieve specific information on financial statements, insider trades, and institutional holdings. It solves problems related to financial data research and analysis, providing outputs such as relevant filings and data extracts. Ideal for use cases requiring quick and accurate financial data retrieval, such as investment research or compliance monitoring.

Canonical page: https://skillsregistry.net/skills/secapi-dev-secapi-mcp  
JSON: https://api.skillsregistry.net/v1/skills/secapi-dev-secapi-mcp

## Description

Enables AI clients to search and analyze SEC filings, financial statements, insider trades, and institutional holdings through natural language tools.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/x3x65o59cy)
- **Repository:** <https://github.com/secapi-dev/secapi-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "secapi-dev-secapi-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/secapi-dev-secapi-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/secapi-dev-secapi-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt